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Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.
JMIR Med Inform
January 2025
Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.
Objective: This study aimed to comprehensively collect variables from multiple aspects, develop and validate machine learning models to achieve precise prediction of PPD, and interpret the model to reveal clinical implications.
Prevalence, consequences, and contributing factors beyond verbal and physical workplace violence against nurses in peripheral hospitals.
Front Public Health
January 2025
Department of Nursing Management and Education, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Background: Globally, nearly one-third of workplace violence (WPV) occurs in the health sector. Exposure to WPV among Jordanian nurses has been widely speculated to be underreported. Understanding of the factors contributing to WPV among nurses and their consequences is limited.
View Article and Find Full Text PDFThe effectiveness of non-exposure to incarceration in preventing COVID-19 and mitigating associated events: a systematic review and meta-analysis.
BMC Public Health
January 2025
Department of Health Economics and Development, Ministry of Health, Distrito Federal, Brazil.
Background: For a long time, the penalty of imprisonment has been studied and criticized as ineffective in achieving the goals of resocialization and rehabilitation of offenders, and studies have associated incarceration with increased prevalence of disease. In response to the COVID-19 pandemic, the World Health Organization recommended decarceration as a prevention measure. The aim of this review was to analyze the effectiveness of non-exposure to incarceration in preventing COVID-19 and mitigating associated events.
View Article and Find Full Text PDFEmpowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics.
BMC Nurs
January 2025
Nursing Administration, Faculty of Nursing, Helwan University, Cairo, Egypt.
Introduction: Artificial Intelligence (AI) is increasingly being integrated into healthcare, particularly through predictive analytics that can enhance patient care and operational efficiency. Nursing leaders play a crucial role in the successful adoption of these technologies.
Aim: This study aims to assess the readiness of nursing leaders for AI integration and evaluate their perceptions of the benefits of AI-driven predictive analytics in healthcare.
A Comprehensive Approach to Reducing Patient Safety Indicators (PSI-90).
J Patient Saf
January 2025
Department of Surgery, University of North Dakota School of Medicine and Health Sciences.
Background: PSI-90, a composite measure comprising ten indicators, reflects the quality of care during hospital stays. The Hospital-Acquired Condition Reduction Program (HACRP), a Centers for Medicare and Medical Services (CMS) program, assesses hospital performance based on quality measures, including PSI-90, with financial implications for poor performers.
Objectives: To evaluate PSI events, establish workflows for accurate documentation, and foster collaboration across clinical and administrative teams, with the ultimate objective of reducing PSI events.
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